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Keep It Simple: CNN Model Complexity Studies for Interference Classification Tasks
However, there have been limited research on the complexity of such deep learning models.
Interference Suppression Using Deep Learning: Current Approaches and Open Challenges
The key downside to non-AI techniques is the need for domain expertise in the extraction or exploitation of signal features such as cyclostationarity, bandwidth and modulation of the interfering signals.
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